Cloudflare Job Builder

AI Assistant

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Hi Sam! 👋 I noticed you're hiring for the Edge Platform team.

Based on your recent roles and Jennifer Lee's team structure, I've already prepared:

Job description (from similar L5 SWE roles)
Interview plan (5 stages, 6 interviewers)
Hiring team (Jennifer, Sarah, Amy)
Approval chains (auto-configured)

Review each tab, then hit Submit!

Smart suggestion:

David Park (System Design interviewer) has 3 back-to-back interviews next week. I've added Emily Wong as backup automatically.

Add more emphasis on distributed systems

Done! Updated the job description. D&I score: 96%

Add a bar raiser stage

Added Bar Raiser stage with Rachel Kim (45 min). She's available and has done 12 bar raiser interviews this quarter.

Review Progress

1 of 5 reviewed

Interview Stages

~4h

Total Time

Interviewers

96%

D&I Score

Job Basics

AI Generated

Job Title

Senior Software Engineer

Location

Austin, TX (Hybrid)

Level

L5 - Senior

Department

Engineering - Edge Platform

Contract

Full-time

Req ID

ENG-2026-0142

AI Auto-Detected

Hiring Manager: Jennifer Lee

Recruiter: Sarah Johnson

Template: Sr. SWE - Workers

Retention: 87%

Job Description

D&I Score: 96% AI Generated

About the Role

We're looking for a Senior Software Engineer to join our Edge Platform team at Cloudflare. In this role, you'll design and build the distributed systems that power our global network, serving millions of requests per second across 300+ cities worldwide.

You'll work on challenging problems in distributed systems, performance optimization, and reliability engineering. Our stack includes Rust, Go, and Lua running on our custom edge runtime.

What You'll Do

Design and implement scalable distributed systems handling millions of RPS
Collaborate with product and infrastructure teams on technical requirements
Lead code reviews and mentor engineers on best practices
Participate in on-call rotation for critical systems

Requirements

5+ years of software engineering experience
Strong experience with distributed systems and microservices
Proficiency in Go, Rust, or similar (or willingness to learn)

💬 Want changes? Ask the AI: "Make it shorter" or "Add Kubernetes experience"

Interview Plan

AI Optimized

AI Insight: This plan is based on 12 successful L5 SWE hires. System Design focus correlates with 87% retention.

Recruiter Screen

Sarah Johnson · 30 min

Background Motivation

Focus Areas & Questions

Walk me through your background and experience
What attracted you to this role at Cloudflare?
Salary expectations and timeline

Technical Screen

Mike Chen (+1 backup) · 60 min

Coding Problem Solving

Focus Areas & Questions

Live coding: Implement a rate limiter with sliding window
Algorithm complexity analysis and optimization
Debug a concurrent data structure issue

System Design Interview

David Park (+Emily Wong backup) · 60 min

Distributed Systems Scalability

Focus Areas & Questions

Design a global CDN caching system at Cloudflare scale
Handle cache invalidation across 300+ data centers
Trade-offs: consistency vs availability vs latency
Failure scenarios and graceful degradation

Bar Raiser Interview

Rachel Kim · 45 min

Leadership Ownership

Focus Areas & Questions

Tell me about a time you took ownership of a failing project
How do you handle disagreements with senior engineers?
Describe a situation where you mentored someone

Hiring Manager Interview

Jennifer Lee · 45 min

Team Fit Career Goals

Focus Areas & Questions

What are your career goals for the next 2-3 years?
How do you prefer to receive feedback?
Questions about the team and role

Click any interview to expand focus areas

💬 Want changes? Ask the AI: "Remove bar raiser" or "Add a coding pair session"

Hiring Team & Approvals

Auto-Assigned

Hiring Team

Hiring Manager

Jennifer Lee

Engineering Manager

Recruiter

Sarah Johnson

Technical Recruiter

Coordinator

Amy Taylor

Recruiting Coordinator

Approval Chains

Job Approvals

L5+ Engineering (1 of 5 required)

Finance (1 of 3 required)

Offer Approvals

Hiring Manager Chain (1 of 3)

Total Rewards (1 of 4)

💬 Want changes? Ask the AI: "Change recruiter to John Smith"

What Happens Next

Job created in Greenhouse

All fields auto-filled

Approval requests sent

You're notified when live

Estimated submission time: ~3-5 seconds

Job will be created in Greenhouse and approval requests sent automatically.

Final Checklist

Job details configured

Job description (96% D&I)

Interview plan (5 stages)

Hiring team assigned

Approval chains set

Greenhouse connected